44 lines
1.2 KiB
YAML
44 lines
1.2 KiB
YAML
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Carparts-seg dataset by Ultralytics
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# Documentation: https://docs.ultralytics.com/datasets/segment/carparts-seg/
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# Example usage: yolo train data=carparts-seg.yaml
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# parent
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# ├── ultralytics
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# └── datasets
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# └── carparts-seg ← downloads here (132 MB)
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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
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path: ../datasets/carparts-seg # dataset root dir
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train: train/images # train images (relative to 'path') 3516 images
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val: valid/images # val images (relative to 'path') 276 images
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test: test/images # test images (relative to 'path') 401 images
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# Classes
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names:
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0: back_bumper
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1: back_door
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2: back_glass
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3: back_left_door
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4: back_left_light
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5: back_light
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6: back_right_door
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7: back_right_light
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8: front_bumper
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9: front_door
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10: front_glass
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11: front_left_door
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12: front_left_light
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13: front_light
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14: front_right_door
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15: front_right_light
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16: hood
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17: left_mirror
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18: object
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19: right_mirror
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20: tailgate
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21: trunk
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22: wheel
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# Download script/URL (optional)
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download: https://github.com/ultralytics/assets/releases/download/v0.0.0/carparts-seg.zip
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